Conference Program of WCICA 2012

WCICA 2012
Book of Abstracts: Saturday Sessions
various feedback control mechanism to stabilize the system. Current all
proposed feedback controllers in literature require the full information
of the disturbance at the duct entrance, which is an infinite-dimensional
quantity and thus is impossible for a direct on-line measurement in reality.
In this paper, we construct a local state observer which can deliver the
full information of the disturbance by only sensing on an arbitrarily s-
mall area at the duct entrance. The approach relies on the semigroup
theory as well as operator spectrum analysis. Numerical simulations
are provided to illustrate the effective of the proposed observer by
demonstrating different types of flow situations for the aeroengine compressors.
◮ SaB05-3 16:30–16:50
Missile Controlled by Aero-Fin and Divert Thrusters Using H2 Decoupling
Analytical Design, pp.1383–1388
Xue, Mantian
Zhang, Weidong
Jia, Xiaohong
Jia, Jie
McMaster Univ.
Shanghai Jiao Tong Univ.
Luoyang Photoelectric Tech.
Nanchang Hangkong Univ.
Reaction jet thruster provides extra moment in order to change the trajectory
of the missile rapidly. However, it will induce interactions between
the airflow and the thruster’s jet. In this paper, a simple H2
decoupling analytical design under internal model control structure is
adapted to a novel designed model of divert controlled missile. Using
this model, controller can handle the system uncertainty and the
coupling problem induced by reaction jet thruster. Simulation results
showed the effectiveness of this design method.
◮ SaB05-4 16:50–17:10
Constrained Model Predictive Control for Backing-up Tractor-Trailer
System, pp.2165–2170
Bin, Yang
Univ. of Wisconsin Milwaukee
In this paper, Lyapunov theory is used firstly to analyze the motion characteristics
of the tractor-trailer system. Then, a novel mixed logical
dynamics (MLD) model is proposed to describe the kinematic of the
tractor-trailer system. For the resulting MLD model, an extended cost
function with quadratic form is addressed, in which the steering angle
of the tractor, as well as two errors combining the position and the orientation
of the trailer are considered. To minimize the tracking error
of the trailer, and smooth the steering angle behavior of the tractor,
an equivalent linear quadratic tracking problem is presented. In view
of this problem, an explicit model predictive control (MPC) controller
is designed, by employing the multi-parametric mixed-integer quadratic
programming (mp-MIQP) technique. Finally, the controller performance
is evaluated through simulation, and achieves the asymptotical stability,
accurate tracking feature and the constraint fulfillment properties, even
in the case of the non-smooth tracking reference path.
◮ SaB05-5 17:10–17:30
Adaptive position tracking control for Bilateral teleoperation with constant
time delay, pp.2324–2328
Hua, Changchun
Yang, Yana
Liu, Xiaoping
yanshan Univ.
Inst. of Electrical Engineering
Carleton Univ., Canada
This paper addresses the position tracking problem for the teleoperation
systems. With the use of neural network approximating unknown
nonlinear functions, a neural network based sliding mode adaptive controller
is designed to realize the synchronization of the master site and
the slave site. By choosing Lyapunov Krasovskii functions, we prove
that the motion tracking error converges to zero asymptotically. Finally,
the simulations are performed to show the effectiveness of the proposed
method.
◮ SaB05-6 17:30–17:50
MLP-based Nonlinear Modelling for Energy Saving in Forming Section
of Paper Machines, pp.2358–2363
Ding, Jinliang
Chai, Tian-you
Northeastern Univ.
Northeastern Univ.
Afshar, Puya
Wang, Hong
The Univ. of Manchester
Manchester M60 1QD,U.K
Due to the increasing cost of energy and the demand of reducing the
environmental footprints, energy saving is becoming an important subject
in the industry operation. To realize the energy consumption optimization
of papermaking, the energy model should be established while
the product quality and process model also need to be constructed,
which are taken as the constraints for optimization. This paper describes
the identification of a forming section of paper machines with
Multilayer Perception (MLP) Neural Networks. The process model,
product quality model and energy consumption model are established
for the energy saving in papermaking. The real industrial step tests are
performed and the data are used to model training and validation. The
models are validated by means of mean-squared error (MSE), fit measure
and Akaike’s Final Prediction Error (FPE). The results show the
effectiveness of the established models, which are suitable for the next
work of energy optimization.
SaB06 15:50–17:50 Room 302
Sesor Networks
Chair: Chen, Cailian
Co-Chair: Liu, Zhigang
Shanghai Jiao Tong Univ.
Northeastern Univ.
◮ SaB06-1 15:50–16:10
Critical Transmission Range for Connectivity in Aeronautical Ad-hoc
Networks, pp.4446–4451
Yan, Jianshu
Song, Ge
Lee, Hua
Hua, Cunqing
Chen, Cailian
Guan, Xinping
SJTU
Univ. of Michigan-Shanghai Jiao Tong Univ. Joint
Inst.
SJTU
SJTU
Shanghai Jiao Tong Univ.
Shanghai Jiao Tong Univ.
Due to the tremendous increases in demand for performance based
navigation and in-flight broadband Internet access in aeronautical industry,
Aeronautical Ad-hoc Networks (AANETs) have been deemed as
a viable solution to provide aircraft-to-aircraft communications without
the aid of ground stations and satellite system. In this paper, we attempt
to address the fundamental concerns arising in the AANETs, namely,
under what conditions the AANETs are connected such that end-toend
communications between aircrafts are feasible. We consider the
aircrafts on a single flight path and introduce a 2-dimensional AANET
model based on the specifications of International Civil Aviation Organization
(ICAO). Based on this model, the Necessary Transmission
Range (NTR) and Sufficient Transmission Range (STR) are derived as
a function of the aircraft density, flight path length and airspace separation,
which represent the critical conditions under which the AANET
is disconnected or connected respectively. The analytical results are
validated through simulation studies.
◮ SaB06-2 16:10–16:30
An analysis of energy balanced deployment strategy for strip-based
wireless sensor networks, pp.4472–4477
Wang, Zhengjie
Zhao, Xiaoguang
Qian, Xu
Shandong Univ. of Sci. & Tech.
Inst. of Automation,the Chinese Acad. of Sci.
School of Mechanical Electronic & Information
Engineering, China Univ. of Mining & Tech.
(Beijing)
Stripe-based wireless sensor networks can be deployed in many scenarios,
such as roads, bridges, tunnels and metros. The deployment
of this type of networks must be considered in detailed because the
network is characterized by the long distance and narrow width. The
paper gives an analysis of balanced energy consumption deployment
of this network. The discussion is presented according to two type of
width of network. The main factors which affect the network lifetime are
analyzed in detailed and the simulation is presented. The simulation
result shows that the short width of networks has little effect on network
lifetime. Also, the maximum network lifetime can not be reached when
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